Many researchers and companies presented A distributed machine learning framework called federated learning for privacy-sensitive applications such as health care, home IoT services, and personal behavior prediction [1]}.
Each client keeps data on the device while communicating with the server only for learning parameters in federated learning.
With Google's keyboard application, GBoard, a federated learning client, learns the user's word usage patterns to predict the next keyword [2]}.
IBM, which acquired Merge Healthcare, aims to predict disease by learning medical and family history, clinical research, and trials and outcomes of hospital patients without exposing personal information [3]}.
